MALL Tools and Strategies for Language Skills, Autonomy, and Digital Literacy: A Case Study of EFL TOEFL Preparation Classes

Authors

  • Bahruddin UIN Syekh Wasil Kediri, Indonesia
  • Suprihantosa Sugiarto UIN Syekh Wasil Kediri, Indonesia

DOI:

https://doi.org/10.57235/ijedr.v5i1.9346

Keywords:

mobile-assisted language learning; learner autonomy; digital literacy; TOEFL preparation; EFL higher education

Abstract

Mobile-assisted language learning (MALL) is now routine in Indonesian higher education, yet little is known about how students in test-preparation courses use specific apps and what they gain beyond test practice. This qualitative case study explored how six MALL tools (Socrative, EnglishScore, ELSA Speak, VOA Learning English, Listen English Practice, and Grammarly) supported the four language skills and shaped learner autonomy, motivation, and digital literacy among 77 undergraduate English education students in three TOEFL preparation classes at a state Islamic university in East Java, Indonesia. Data were collected through a questionnaire with closed and open-ended items, six classroom observations, and semi-structured interviews with 15 students. Qualitative data were analysed thematically following Braun and Clarke's six phases, and closed items were summarised descriptively. Most students reported gains in listening (85%), speaking confidence (76%), reading (70%), and writing accuracy (68%), which they attributed to immediate feedback, adjustable audio, and accessible authentic texts. Most also used the apps independently outside class (82%) and described feedback and visible progress as motivating. Digital literacy grew mainly in operational skills and, to a lesser extent, in evaluating feedback and online sources. Unstable connectivity, app crashes, and phone distractions limited these benefits. The findings suggest that MALL works best when teachers embed apps in structured blended routines that include goal setting, self-monitoring, and explicit digital literacy instruction. Because the evidence is self-reported and short term, longitudinal designs with performance measures are recommended.

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Published

2026-10-31

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